SuiteSparse: A Suite of Sparse matrix packages at http://suitesparse.com

Feb 5, 2026, SuiteSparse VERSION 7.12.2

SuiteSparse is a set of sparse-matrix-related packages written or co-authored by Tim Davis, available at https://github.com/DrTimothyAldenDavis/SuiteSparse .

Primary author of SuiteSparse (codes and algorithms, excl. METIS): Tim Davis

Code co-authors, in alphabetical order (not including METIS or LAGraph): Patrick Amestoy, Mohsen Aznaveh, David Bateman, Jinhao Chen, Yanqing Chen, Iain Duff, Joe Eaton, Les Foster, William Hager, Raye Kimmerer, Scott Kolodziej, Chris Lourenco, Stefan Larimore, Lorena Mejia Domenzain, Erick Moreno-Centeno, Markus Mützel, Corey Nolet, Ekanathan Palamadai, Sivasankaran Rajamanickam, Sanjay Ranka, Wissam Sid-Lakhdar, and Nuri Yeralan.

LAGraph has been developed by the highest number of developers of any of the packages in SuiteSparse and deserves its own list. The list also appears in LAGraph/Contibutors.txt:

Janos B. Antal      Budapest University of Technology and Economics, Hungary
Mohsen Aznaveh      Texas A&M University
David A. Bader      New Jersey Institute of Technology
Georgiy Belyanin    St. Petersburg State University
Aydin Buluc         Lawrence Berkeley National Lab
Jinhao Chen         Texas A&M University
Tim Davis           Texas A&M University
Florentin Dorre     Technische Univeritat Dresden, Neo4j
Marton Elekes       Budapest University of Technology and Economics, Hungary
Alexandra Goff      Texas A&M University
Gabriel Gomez       Texas A&M University
Semyon Grigoriev    St. Petersburg State University
Balint Hegyi        Budapest University of Technology and Economics, Hungary
Tanner Hoke         Texas A&M University
James Kitchen       Anaconda
Scott Kolodziej     Texas A&M University
Ilhom Kombaev       St. Petersburg State University
Pranav Konduri      Texas A&M University
Christina Koutsou   Aristotle University of Thessaloniki
Roi Lipman          Redis Labs
Tze Meng Low        Carnegie Mellon University
Vidith Madhu        Texas A&M University
Tim Mattson         Intel
Scott McMillan      Carnegie Mellon University
Markus Muetzel
Hemanth Mukesh      Texas A&M University
Olumayowa Olowomeye Texas A&M University
Casey Pei           Texas A&M University
Michel Pelletier    Graphegon, OneSparse
Darin Peries        Texas A&M University
Cameron Quilici     Texas A&M University
Aurko Routh         Texas A&M University
Gabor Szarnyas      CWI Amsterdam, The Netherlands
Erik Welch          Anaconda, then NVIDIA
Carl Yang           University of California at Davis, Waymo
Yongzhe Zhang       SOKENDAI, Japan

METIS is authored by George Karypis.

Additional algorithm designers: Esmond Ng and John Gilbert.

Refer to each package for license, copyright, and author information.

Documentation

Refer to each package for the documentation on each package, typically in the Doc subfolder.

SuiteSparse branches

dev: the default branch, with recent updates of features to appear in the next stable release. The intent is to keep this branch in fully working order at all times, but the features will not be finalized at any given time.
stable: the most recent stable release.
dev2: working branch. All submitted PRs should made to this branch. This branch might not always be in working order.

SuiteSparse Packages

Packages in SuiteSparse, and files in this directory:

AMD

approximate minimum degree ordering. This is the built-in AMD function in MATLAB.

authors: Tim Davis, Patrick Amestoy, Iain Duff
bin

where programs are placed when compiled, for make local
BTF

permutation to block triangular form

authors: Tim Davis, Ekanathan Palamadai
build

folder for default build tree
CAMD

constrained approximate minimum degree ordering

authors: Tim Davis, Patrick Amestoy, Iain Duff, Yanqing Chen
CCOLAMD

constrained column approximate minimum degree ordering

authors: Tim Davis, Sivasankaran Rajamanickam, Stefan Larimore.

Algorithm design collaborators: Esmond Ng, John Gilbert (for COLAMD)
ChangeLog

a summary of changes to SuiteSparse. See */Doc/ChangeLog for details for each package.
CHOLMOD

sparse Cholesky factorization. Requires AMD, COLAMD, CCOLAMD, the BLAS, and LAPACK. Optionally uses METIS. This is chol and x=A\b in MATLAB.

author for all modules: Tim Davis

CHOLMOD/Modify module authors: Tim Davis and William W. Hager

CHOLMOD/SuiteSparse_metis: a modified version of METIS, embedded into the CHOLMOD library. See the README.txt files for details. author: George Karypis. This is a slightly modified copy included with SuiteSparse via the open-source license provided by George Karypis. SuiteSparse cannot use an unmodified copy of METIS.
CITATION.bib

citations for SuiteSparse packages, in bibtex format.
CMakeLists.txt

optional, to compile all of SuiteSparse. See below.
CODE_OF_CONDUCT.md

community guidelines
COLAMD

column approximate minimum degree ordering. This is the built-in COLAMD function in MATLAB.

authors (of the code): Tim Davis and Stefan Larimore

Algorithm design collaborators: Esmond Ng, John Gilbert
Contents.m

a list of contents for 'help SuiteSparse' in MATLAB.
CONTRIBUTING.md

how to contribute to SuiteSparse
CONTRIBUTOR-LICENSE.txt

required contributor agreement
CSparse

a concise sparse matrix package, developed for my book, "Direct Methods for Sparse Linear Systems", published by SIAM. Intended primarily for teaching. Note that the code is (c) Tim Davis, as stated in the book.

For production, use CXSparse instead. In particular, both CSparse and CXSparse have the same include filename: cs.h. This package is used for the built-in DMPERM in MATLAB.

author: Tim Davis
CXSparse

CSparse Extended. Includes support for complex matrices and both int or long integers. Use this instead of CSparse for production use; it creates a libcsparse.so (or dylib on the Mac) with the same name as CSparse. It is a superset of CSparse. Any code that links against CSparse should also be able to link against CXSparse instead.

author: Tim Davis, David Bateman
Example

a simple package that relies on almost all of SuiteSparse
.github

workflows for CI testing on GitHub.
GraphBLAS

graph algorithms in the language of linear algebra.

https://graphblas.org

authors: Tim Davis, Joe Eaton, Corey Nolet
include

make install places user-visible include files for each package here, after make local.
KLU

sparse LU factorization, primarily for circuit simulation. Requires AMD, COLAMD, and BTF. Optionally uses CHOLMOD, CAMD, CCOLAMD, and METIS.

authors: Tim Davis, Ekanathan Palamadai
LAGraph

a graph algorithms library based on GraphBLAS. See also https://github.com/GraphBLAS/LAGraph

Authors: many.
LDL

a very concise LDL' factorization package

author: Tim Davis
lib

make install places shared libraries for each package here, after make local.
LICENSE.txt

collected licenses for each package.
Makefile

optional, to compile all of SuiteSparse using make, which is used as a simple wrapper for cmake in each subproject.
- make
  
  compiles SuiteSparse libraries. Subsequent make install will install in CMAKE_INSTALL_PATH (might default to /usr/local/lib on Linux or Mac).
- make local
  
  compiles SuiteSparse. Subsequent make install will install in ./lib, ./include. Does not install in CMAKE_INSTALL_PATH.
- make global
  
  compiles SuiteSparse libraries. Subsequent make install will install in /usr/local/lib (or whatev

SuiteSparse

Install / Use

README

SuiteSparse: A Suite of Sparse matrix packages at http://suitesparse.com

Documentation

SuiteSparse branches

SuiteSparse Packages